Keith Dawson's Analyst Perspectives

The first wave of discussions around artificial intelligence (AI) in the contact center was focused on providing software buyers with a general understanding of what the technology could do. Now the conversations are becoming more specific, focused and direct. Buyers are more aware of the spectrum of available use cases and appear to be exploring how to map new tools to the particular business problems they face. Contact center buyers are approaching new technology deployments (or enhancements...

We are going through an analytics revolution in and around contact centers. There is more data to analyze and better tools to conduct the analysis. One important advancement is assessing customer sentiment and using it to predict (and influence) behavior. Enterprises are using customer experience programs to identify and act upon hidden "moments of leverage" where customers may be inclined or primed to make a purchase. To do that effectively, enterprises need insight into how the customer...

The speed of innovation and transformation has picked up considerably in the 2020s, thanks to the confluence of artificial intelligence (AI), cloud computing and the pandemic. Modern consumers have wildly different expectations than their predecessors when it comes to service delivery, whether that means a preference for digital channels and self-service or a willingness to do their own troubleshooting and research. As a result, buying an operating platform for a contact center is not a simple...

Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. CX has emerged as a way for enterprises to demonstrate value and stand out in the marketplace. The technology underlying modern CX is transitioning from tools that are based on communication to those centered on data analysis and process automation. No technology has had as dramatic impact as quickly as Generative AI, which has upended the industry. It allows enterprises to build great...

Every contact center agent represents an incredible investment in time and money even before that person starts working with customers. The costs associated with the labor force — and the need to continually replace agents who leave — have long forced managers to use technology to optimize performance and processes. Much of the technology that was developed decades ago is still relevant and in use for quality management and workforce efficiency. Advances in related areas like artificial...

The pandemic laid bare the tenuous relationship between many contact centers and their agents. The abrupt shift to remote work was just one component of the changes still under way. The past four years have also seen enterprises reckoning with questions about how to hire, what to pay their employees, what skills are needed and how an avalanche of new technology will change their operations. 

It often takes longer to adopt new technology in the customer service delivery environment than in other business areas. In fact, service operations are among the most efficient and well-organized processes (despite what consumers might think). Because both the processes and the technology that drive them are deeply engrained in many companies, many people resist large-scale transformation projects because of their disruption and the uncertainty of outcomes. 

Verint’s November analyst conference was an opportunity to flesh out the strategies unveiled earlier in the year on AI deployment and on “Open CCaaS,” a moniker describing how contact centers are provisioned going forward. The company displayed notable progress, particularly in rolling out AI bots for numerous real-world applications. 

NICE held its annual Analyst Summit this month in the magnificent high-altitude mountains of Peru, a fantastic environment in which to hear top executives share insights into the changing company and industry. NICE has been very successful in navigating the industry transition from voice-centric interactions to a digital-first posture. Consumer behavior is one of the underlying causes of this shift, forcing many organizations to rethink customer experience strategies.

The environment around customer experience is being disrupted by a series of technical and organizational shifts ranging from artificial intelligence to work-from-home to deep customer analytics. When times change, it’s helpful for people to have a framework to organize their thinking and actions. I believe there are two dominant frameworks used to organize business approaches to customers. One is rooted in the efficiency of the contact center (let’s call it “CC thinking”), and the more...